Concept for Context-Aware Manufacturing Dashboard Applications

In today's integrated manufacturing systems where production and logistics dashboards collect and aggregate large amounts of data, finding the right information on time for a given purpose is often a challenge. Since these dashboard systems collect large amounts of information and not all of it is always relevant, the systems have to be able to anticipate which information is important for the appropriate user at a certain time. In order to deliver only relevant information at the right time to its users, systems must be aware of the user and business context. The idea presented in this paper is based on identifying the information relevancy by capturing the manufacturing context of the users which are using the system. This paper discusses the challenges and concepts for context modeling and context interpreting and suggests an infrastructure for the context-aware manufacturing applications.